Shangqian Gao
University of Pittsburgh
H-index: 13
North America-United States
Top articles of Shangqian Gao
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Token fusion: Bridging the gap between token pruning and token merging | Minchul Kim Shangqian Gao Yen-Chang Hsu Yilin Shen Hongxia Jin | 2024 | |
Apparatus and method for sharing and pruning weights for vision and language models | 2024/4/11 | ||
Auto-Train-Once: Controller Network Guided Automatic Network Pruning from Scratch | CVPR | Xidong Wu* Shangqian Gao* Zeyu Zhang Zhenzhen Li Runxue Bao | 2024/3/21 |
Jointly Training and Pruning CNNs via Learnable Agent Guidance and Alignment | arXiv preprint arXiv:2403.19490 | Alireza Ganjdanesh Shangqian Gao Heng Huang | 2024/3/28 |
Compressing Image-to-Image Translation GANs Using Local Density Structures on Their Learned Manifold | Proceedings of the AAAI Conference on Artificial Intelligence | Alireza Ganjdanesh Shangqian Gao Hirad Alipanah Heng Huang | 2024/3/24 |
Learning to Jointly Share and Prune Weights for Grounding Based Vision and Language Models | Shangqian Gao Burak Uzkent Yilin Shen Heng Huang Hongxia Jin | 2023 | |
Dynamic Low-rank Estimation for Transformer-based Language Models | Ting Hua Xiao Li Shangqian Gao Yen-Chang Hsu Yilin Shen | 2023/12 | |
EffConv: efficient learning of kernel sizes for convolution layers of CNNs | Alireza Ganjdanesh Shangqian Gao Heng Huang | 2023/6/26 | |
Gradient descent ascent for minimax problems on riemannian manifolds | IEEE Transactions on Pattern Analysis and Machine Intelligence | Feihu Huang Shangqian Gao | 2023/1/4 |
Structural Alignment for Network Pruning through Partial Regularization | Shangqian Gao Zeyu Zhang Yanfu Zhang Feihu Huang Heng Huang | 2023 | |
Improving social network embedding via new second-order continuous graph neural networks | Yanfu Zhang Shangqian Gao Jian Pei Heng Huang | 2022/8/14 | |
Enhanced bilevel optimization via bregman distance | Advances in Neural Information Processing Systems | Feihu Huang Junyi Li Shangqian Gao Heng Huang | 2022/12/6 |
Disentangled differentiable network pruning | Shangqian Gao Feihu Huang Yanfu Zhang Heng Huang | 2022/10/23 | |
Interpretations steered network pruning via amortized inferred saliency maps | Alireza Ganjdanesh Shangqian Gao Heng Huang | 2022/10/23 | |
Recover fair deep classification models via altering pre-trained structure | Yanfu Zhang Shangqian Gao Heng Huang | 2022/10/23 | |
Bregman gradient policy optimization | ICLR | Feihu Huang* Shangqian Gao* Heng Huang | 2022 |
Accelerated zeroth-order and first-order momentum methods from mini to minimax optimization | Journal of Machine Learning Research | Feihu Huang Shangqian Gao Jian Pei Heng Huang | 2022 |
Riemannian gradient methods for stochastic composition problems | Neural Networks | Feihu Huang Shangqian Gao | 2022/9/1 |
Biadam: Fast adaptive bilevel optimization methods | Feihu Huang Junyi Li Shangqian Gao | 2021/6/21 | |
Exploration and estimation for model compression | Yanfu Zhang* Shangqian Gao* Heng Huang | 2021 |
Co-Authors
